Travelled to:1 × Australia
1 × Korea
3 × USA
Collaborated with:R.Salakhutdinov K.Laven A.Globerson N.Srebro G.Shakhnarovich S.Leishman Z.Ghahramani S.Kakade Y.W.Teh K.Mierle G.Wilson
Talks about:optim (2) learn (2) repositori (1) overrelax (1) markovian (1) nightmar (1) investig (1) gradient (1) gaussian (1) function (1)
Person: Sam T. Roweis
DBLP: Roweis:Sam_T=
Facilitated 1 volumes:
EdContributed to:
2006
2005
200520032002Wrote 7 papers:
- ICML-2006-GlobersonR #learning #robust
- Nightmare at test time: robust learning by feature deletion (AG, STR), pp. 353–360.
- ICML-2006-SrebroSR #clustering
- An investigation of computational and informational limits in Gaussian mixture clustering (NS, GS, STR), pp. 865–872.
- ICDAR-2005-LavenLR #analysis #approach #documentation #image #learning #statistics
- A Statistical Learning Approach To Document Image Analysis (KL, SL, STR), pp. 357–361.
- MSR-2005-MierleLRW #cvs #mining #performance #repository #student
- Mining student CVS repositories for performance indicators (KM, KL, STR, GW), pp. 105–109.
- ICML-2003-SalakhutdinovR #adaptation #bound #optimisation
- Adaptive Overrelaxed Bound Optimization Methods (RS, STR), pp. 664–671.
- ICML-2003-SalakhutdinovRG #optimisation
- Optimization with EM and Expectation-Conjugate-Gradient (RS, STR, ZG), pp. 672–679.
- ICML-2002-KakadeTR #markov
- An Alternate Objective Function for Markovian Fields (SK, YWT, STR), pp. 275–282.